niksss at SemEval-2022 Task 6: Are Traditionally Pre-Trained Contextual Embeddings Enough for Detecting Intended Sarcasm ?

Abstract

This paper presents the 10th and 11th place system for Subtask A - English and Subtask A - Arabic respectively of the SemEval 2022 - Task 6. The purpose of the Subtask A was to classify a given text sequence into sarcastic and non-sarcastic. We also breifly cover our method for Subtask B which performed subpar when compared with most of the submissions on the official leaderboard. All of the developed solutions used a transformers based language model for encoding the text sequences with necessary changes of the pretrained weights and classifier according to the language and subtask at hand.